Pathway Analysis using Random Forests specifications

Information


Unique identifier OMICS_24893
Alternative name pathwayRF
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
Computer skills Advanced
Stability Stable
Maintained Yes

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Maintainers


  • person_outline Hongyu Zhao <>
  • person_outline Herbert Pang <>

Pathway Analysis using Random Forests article

Pathway Analysis using Random Forests institution(s)
Division of Biostatistics, Department of Epidemiology and Public Health, Yale University School of Medicine, New Haven, CT, USA; W. M. Keck Biotechnology Resource Laboratory, Yale University School of Medicine, New Haven, CT, USA; Boyer Center for Molecular Medicine, Yale University School of Medicine, New Haven, CT, USA; Department of Genetics, Yale University School of Medicine, New Haven, CT, USA; Pfizer Groton Laboratories, Safety Sciences, Groton, CT, USA
Pathway Analysis using Random Forests funding source(s)
Supported by a grant from Pfizer.

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